Westbury and Hollis looked at each one of the nearly 5,000 words under a humorist microscope, categorizing them based on 20 different factors, including how long the word itself was, how positive or negative the word’s meaning was, how common each letter or combination of letters was in English, and whether the word contained a crude or profane-sounding string of characters within it (like “pike” and “bunghole,” for example).

With these factors and the pre-existing humor scores for the words in the entire list, the researchers devised several different equations that could, theoretically, predict the humorousness of any given word. They tested two of their humor equations on a list of more than 45,000 words, then ranked the results in their new paper. One algorithm decided the top five funniest words on the list were…